... bioinformatics pipelines and low-latency inference services. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or ...
... bioinformatics pipelines and low-latency inference services. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or ...
Bioinformatics Internship information
What is a Bioinformatics Internship job?
A Bioinformatics Internship is a temporary position designed for students or recent graduates to gain hands-on experience in applying computational and statistical techniques to biological data. Interns typically work with large datasets, develop algorithms, analyze genomic sequences, and assist in research projects. They may use programming languages like Python or R and tools such as BLAST or Next-Generation Sequencing technologies. This internship provides valuable exposure to the intersection of biology, data science, and computer science, helping interns develop practical skills for careers in bioinformatics, biotechnology, or computational biology.
What are the typical responsibilities of a Bioinformatics Intern during their internship?
As a Bioinformatics Intern, you can expect to assist in analyzing large-scale biological datasets, support data management and curation efforts, and help maintain or develop computational pipelines. You may also contribute to writing reports, creating data visualizations, and presenting your findings to both technical and non-technical team members. Many internships offer opportunities to collaborate with scientists and researchers from different backgrounds, providing a well-rounded, hands-on learning experience. Your daily tasks will vary depending on the project, but there's a strong emphasis on problem-solving and applying computational methods to address biological questions.
What are the key skills and qualifications needed to thrive in the Bioinformatics Internship position, and why are they important?
To thrive as a Bioinformatics Intern, you need a foundational understanding of biology, programming (often in Python or R), statistics, and data analysis, typically gained through coursework or related research experience. Familiarity with bioinformatics tools such as BLAST, genome browsers, and experience with databases like NCBI or Ensembl are commonly expected. Attention to detail, critical thinking, effective communication, and teamwork are valuable soft skills in this field. These qualities enable interns to interpret complex biological data accurately and collaborate efficiently within multidisciplinary research teams.
What are the most commonly searched types of Bioinformatics jobs in Bothell, WA? The most popular types of Bioinformatics jobs in Bothell, WA are:
What job categories do people searching Bioinformatics Internship jobs in Bothell, WA look for? The top searched job categories for Bioinformatics Internship jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Bioinformatics Internship jobs? Cities near Bothell, WA with the most Bioinformatics Internship job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 8 days ago
Amazon rating
7.4
Based on 6,930 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
This is a unique opportunity to join a small, high-impact team applying machine learning and bioinformatics to health initiatives. You will lead the architecture and implementation of the ML systems that take genomic, proteomic, and clinical signal from raw biology to actionable predictions - and you'll do it on a team where engineering decisions directly shape scientific outcomes.
If you're passionate about building robust, scalable systems for ML in the life sciences - high-throughput pipelines for sequencing and multi-omics data, low-latency inference services for biological foundation models, and the surrounding tooling that makes model iteration fast and reproducible - this role is for you. You'll design and implement high-performance APIs and data pipelines, integrate ML models into production environments, and ensure the reliability and efficiency of our bioinformatics workflows. You'll work elbow-to-elbow with ML researchers, computational biologists, and immunologists to turn experimental ideas into deployed systems.
We're especially looking for engineers who want to dive into immunology - neoantigen prediction, MHC binding and presentation, T-cell response modeling, and the broader machinery of the adaptive immune system. You don't need to come in as an immunologist, but you should be excited to learn the biology deeply enough to make sound architectural choices: how to represent peptides and structures, where biological priors belong in the system, and how to design feedback loops between wet-lab data and model improvement.
In this early-stage initiative, you'll have significant influence over technical direction, engineering practices, and the ML/bioinformatics stack itself. This is an excellent opportunity for a high-judgment engineer to demonstrate impact, make key architectural decisions, and build systems where the bar for correctness is set by biology - not just uptime.
Key job responsibilities
- Lead software architecture design for ML and bioinformatics systems that integrate genomic, proteomic, and clinical data.
- Develop high-performance APIs for model inference and pipeline orchestration across sequencing, multi-omics, and immunology workloads.
- Implement integration of ML models - including biological foundation models and structure-aware predictors - into prototype and production applications.
- Ensure efficient integration of selected models for tasks such as neoantigen prediction, MHC binding/presentation, and peptide ranking.
- Optimize system performance, scalability, and reliability for high-throughput bioinformatics pipelines and low-latency inference services.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
If you're passionate about building robust, scalable systems for ML in the life sciences - high-throughput pipelines for sequencing and multi-omics data, low-latency inference services for biological foundation models, and the surrounding tooling that makes model iteration fast and reproducible - this role is for you. You'll design and implement high-performance APIs and data pipelines, integrate ML models into production environments, and ensure the reliability and efficiency of our bioinformatics workflows. You'll work elbow-to-elbow with ML researchers, computational biologists, and immunologists to turn experimental ideas into deployed systems.
We're especially looking for engineers who want to dive into immunology - neoantigen prediction, MHC binding and presentation, T-cell response modeling, and the broader machinery of the adaptive immune system. You don't need to come in as an immunologist, but you should be excited to learn the biology deeply enough to make sound architectural choices: how to represent peptides and structures, where biological priors belong in the system, and how to design feedback loops between wet-lab data and model improvement.
In this early-stage initiative, you'll have significant influence over technical direction, engineering practices, and the ML/bioinformatics stack itself. This is an excellent opportunity for a high-judgment engineer to demonstrate impact, make key architectural decisions, and build systems where the bar for correctness is set by biology - not just uptime.
Key job responsibilities
- Lead software architecture design for ML and bioinformatics systems that integrate genomic, proteomic, and clinical data.
- Develop high-performance APIs for model inference and pipeline orchestration across sequencing, multi-omics, and immunology workloads.
- Implement integration of ML models - including biological foundation models and structure-aware predictors - into prototype and production applications.
- Ensure efficient integration of selected models for tasks such as neoantigen prediction, MHC binding/presentation, and peptide ranking.
- Optimize system performance, scalability, and reliability for high-throughput bioinformatics pipelines and low-latency inference services.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US